The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
|
|---|---|
| Published in |
Frontiers in oncology, October 2019
|
| DOI | 10.3389/fonc.2019.01058 |
| Pubmed ID | |
| Authors |
Mingshan Niu, Ninghan Zhang, Rong Wang, Tingting Shao, Yuan Feng, Yangling Shen, Xuejiao Liu, Kai Zhao, Shengyun Zhu, Linyan Xu, Yao Yao, Kailin Xu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Mexico | 1 | 20% |
| Switzerland | 1 | 20% |
| Algeria | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 47% |
| Medicine and Dentistry | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Computer Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2019.
All research outputs
#16,588,485
of 26,163,973 outputs
Outputs from Frontiers in oncology
#5,841
of 22,911 outputs
Outputs of similar age
#211,752
of 370,467 outputs
Outputs of similar age from Frontiers in oncology
#149
of 478 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,911 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,467 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 478 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.